RXBRU
Agentic Systems //RAG Pipelines //Production Backends
OPEN_TO_WORK
The short version
Each line is checkable against the repos in the project index below.
- tests_in_suite584+ across Trecl, Concize, Ghidra MCP
- rag_backendmulti-provider routing, RabbitMQ fleet, tenant-isolated Qdrant
- agents_shippedguardrailed LangGraph DAGs with human-in-the-loop + tracing
- publishednpm CLI (Saturday) · MCP server (Ghidra)
- currentlyAI Engineer Intern @ IntelGrader · freelance-delivered client work
PROJECT_INDEX_v2.0
FEATURED_PROJECTS
Total Projects6
Tests Across Suite584+
> SELECT_PROJECT
ACTIVE_PROJECT: TRECL
4192
6-agent LangGraph system that researches companies and drafts targeted outreach.
ROLE :: Solo - design, agents, guardrails, testsPROOF :: 368+ tests · 4-layer guardrail system
System_Architecture
- 6-agent stateful DAG with parallel fan-out/fan-in (LangGraph)
- Agentic RAG pipeline: Tavily scrape → Qdrant index → LLM synthesis
- ReAct sub-graph GitHub analyst with 7 tools and 4-layer hallucination guardrails - the agent only acts on repos and labels it has actually verified
- Human-in-the-loop graph interrupt for target selection
- Pydantic structured outputs with retry-and-fallback; tenacity proxy retries only transient errors (429/5xx)
> OVERVIEW:A multi-agent job research tool built with LangGraph. Given a company name, a data ingester scrapes 8 targeted web sources via Tavily, embeds the results into Qdrant, and synthesizes a structured company summary. A job decoder and GitHub analyst run in parallel; the GitHub analyst is a compiled ReAct sub-graph with 7 tools and stateful guardrails that prevent the LLM from querying repos or labels it hasn't actually discovered. The graph pauses for human target selection, then a pain synthesizer queries Qdrant for deeper technical context before a writer generates tailored cold outreach. Every guardrail rejection path is unit-tested.
Technical Proficiency
Core Languages
TypeScript / JavaScript
Python
SQL
Kotlin
Go
Rust
+
Domains
Agentic & AI Systems
Multi-agent systems with guardrails, tracing, and human checkpoints. Rejection paths unit-tested.
LangGraphLangChainMulti-Agent DAGsRAG PipelinesAgent GuardrailsHuman-in-the-LoopMCP ServersLangSmith TracingMulti-Provider LLM RoutingStructured Output (Pydantic/Zod)Semantic Caching
Backend & APIs
Event-driven pipelines and APIs that survive provider failures and rate limits.
Node.jsExpressFastAPIRabbitMQRESTSSESocket.IOJWT / JWKSOAuth2OpenAPI 3.1
Data & Vector Infrastructure
Relational and vector storage, with row-level locking for ordered queue processing.
PostgreSQLSupabaseQdrantRedisMongoDBPrismaRow-Level LockingTenant Isolation
Security Engineering
Encryption at rest, hardened agent inputs, binary analysis tooling.
AES-256-GCM at RestZero-Knowledge DesignInput SanitizationPrompt-Injection DefenseBinary Analysis (Ghidra / Capstone)
Cloud & DevOps
Deployment, CI, and Linux server management.
DockerGitHub ActionsAWS (EC2 / S3)NginxLinuxVercelRender
+
root@rxbru:~/system_metrics
Building agents
that ship?
I take on agentic systems and backend work where reliability matters. Remote-first from India, with a daily overlap window for US and EU teams.
STATUS :: open to full-time + contractOVERLAP :: 6pm-11pm IST = 8:30am-1:30pm ETRESPONSE :: within 24h